Identification of Object Dynamics Using Hand Worn Motion and Force Sensors

Emerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objec...

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Main Authors: Henk G. Kortier, H. Martin Schepers, Peter H. Veltink
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/12/2005
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spelling doaj-65edb6f7e8974ab8aa72a21cbcdecece2020-11-25T01:05:58ZengMDPI AGSensors1424-82202016-11-011612200510.3390/s16122005s16122005Identification of Object Dynamics Using Hand Worn Motion and Force SensorsHenk G. Kortier0H. Martin Schepers1Peter H. Veltink2Institute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, P.O. Box 217, 7500 AE Enschede, The NetherlandsXsens, Pantheon 6-A, 7521 PR Enschede, The NetherlandsInstitute for Biomedical Technology and Technical Medicine (MIRA), University of Twente, P.O. Box 217, 7500 AE Enschede, The NetherlandsEmerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objects. We have developed a new prototype device that allows simultaneous 3D force and movement measurements at the finger and thumb tips. The combination of interaction forces and movements makes it possible to identify the dynamical characteristics of the object being handled by the hand. With this device attached to the hand, a subject manipulated mass and spring objects under varying conditions. We were able to identify and estimate the weight of two physical mass objects (0.44 kg: 29 . 3 % ± 18 . 9 % and 0.28 kg: 19 . 7 % ± 10 . 6 % ) and the spring constant of a physical spring object ( 16 . 3 % ± 12 . 6 % ). The system is a first attempt to quantify the interactions of the hand with the environment and has many potential applications in rehabilitation, ergonomics and sports.http://www.mdpi.com/1424-8220/16/12/2005inertial sensorsforce sensorson-body measurements
collection DOAJ
language English
format Article
sources DOAJ
author Henk G. Kortier
H. Martin Schepers
Peter H. Veltink
spellingShingle Henk G. Kortier
H. Martin Schepers
Peter H. Veltink
Identification of Object Dynamics Using Hand Worn Motion and Force Sensors
Sensors
inertial sensors
force sensors
on-body measurements
author_facet Henk G. Kortier
H. Martin Schepers
Peter H. Veltink
author_sort Henk G. Kortier
title Identification of Object Dynamics Using Hand Worn Motion and Force Sensors
title_short Identification of Object Dynamics Using Hand Worn Motion and Force Sensors
title_full Identification of Object Dynamics Using Hand Worn Motion and Force Sensors
title_fullStr Identification of Object Dynamics Using Hand Worn Motion and Force Sensors
title_full_unstemmed Identification of Object Dynamics Using Hand Worn Motion and Force Sensors
title_sort identification of object dynamics using hand worn motion and force sensors
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2016-11-01
description Emerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objects. We have developed a new prototype device that allows simultaneous 3D force and movement measurements at the finger and thumb tips. The combination of interaction forces and movements makes it possible to identify the dynamical characteristics of the object being handled by the hand. With this device attached to the hand, a subject manipulated mass and spring objects under varying conditions. We were able to identify and estimate the weight of two physical mass objects (0.44 kg: 29 . 3 % ± 18 . 9 % and 0.28 kg: 19 . 7 % ± 10 . 6 % ) and the spring constant of a physical spring object ( 16 . 3 % ± 12 . 6 % ). The system is a first attempt to quantify the interactions of the hand with the environment and has many potential applications in rehabilitation, ergonomics and sports.
topic inertial sensors
force sensors
on-body measurements
url http://www.mdpi.com/1424-8220/16/12/2005
work_keys_str_mv AT henkgkortier identificationofobjectdynamicsusinghandwornmotionandforcesensors
AT hmartinschepers identificationofobjectdynamicsusinghandwornmotionandforcesensors
AT peterhveltink identificationofobjectdynamicsusinghandwornmotionandforcesensors
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